Wessel N. van Wieringen

According to our database, Wessel N. van Wieringen authored at least 20 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Sequential Learning of Regression Models by Penalized Estimation.

Wessel N. van Wieringen, Harald Binder

J. Comput. Graph. Stat., July, 2022

rags2ridges: A One-Stop- ℓ2 -Shop for Graphical Modeling of High-Dimensional Precision Matrices.

Carel F. W. Peeters, Anders Ellern Bilgrau, Wessel N. van Wieringen

J. Stat. Softw., 2022

2021

A parallel algorithm for ridge-penalized estimation of the multivariate exponential family from data of mixed types.

Diederik S. Laman Trip, Wessel N. van Wieringen

Stat. Comput., 2021

2020

Updating of the Gaussian graphical model through targeted penalized estimation.

Wessel N. van Wieringen, Koen A. Stam, Carel F. W. Peeters, Mark A. van de Wiel

J. Multivar. Anal., 2020

Targeted Fused Ridge Estimation of Inverse Covariance Matrices from Multiple High-Dimensional Data Classes.

Anders Ellern Bilgrau, Carel F. W. Peeters, Poul Svante Eriksen, Martin Bøgsted, Wessel N. van Wieringen

J. Mach. Learn. Res., 2020

The spectral condition number plot for regularization parameter evaluation.

Carel F. W. Peeters, Mark A. van de Wiel, Wessel N. van Wieringen

Comput. Stat., 2020

2018

Rscreenorm: normalization of CRISPR and siRNA screen data for more reproducible hit selection.

Costa Bachas, Jasmina Hodzic, Johannes C. van der Mijn, Chantal Stoepker, Henk M. W. Verheul, Rob M. F. Wolthuis, Emanuela Felley-Bosco, Wessel N. van Wieringen, Victor W. van Beusechem, Ruud H. Brakenhoff, Renée X. de Menezes

BMC Bioinform., 2018

2016

Ridge estimation of inverse covariance matrices from high-dimensional data.

Wessel N. van Wieringen, Carel F. W. Peeters

Comput. Stat. Data Anal., 2016

2014

tigaR: integrative significance analysis of temporal differential gene expression induced by genomic abnormalities.

Viktorian Miok, Saskia M. Wilting, Mark A. van de Wiel, Annelieke Jaspers, Paula I. van Noort, Ruud H. Brakenhoff, Peter J. F. Snijders, Renske D. M. Steenbergen, Wessel N. van Wieringen

BMC Bioinform., 2014

A test for comparing two groups of samples when analyzing multiple omics profiles.

Nimisha Chaturvedi, Jelle J. Goeman, Judith M. Boer, Wessel N. van Wieringen, Renée X. de Menezes

BMC Bioinform., 2014

Application of a New Ridge Estimator of the Inverse Covariance Matrix to the Reconstruction of Gene-Gene Interaction Networks.

Wessel N. van Wieringen, Carel F. W. Peeters

Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014

2012

Matching of array CGH and gene expression microarray features for the purpose of integrative genomic analyses.

Wessel N. van Wieringen, Kristian Unger, Gwenaël G. R. Leday, Oscar Krijgsman, Renée X. de Menezes, Bauke Ylstra, Mark A. van de Wiel

BMC Bioinform., 2012

2011

Exploratory Factor Analysis of Pathway Copy Number Data with an Application Towards the Integration with Gene Expression Data.

Wessel N. van Wieringen, Mark A. van de Wiel

J. Comput. Biol., 2011

Statistical analysis of the cancer cell's molecular entropy using high-throughput data.

Wessel N. van Wieringen, Aad van der Vaart

Bioinform., 2011

Preprocessing and downstream analysis of microarray DNA copy number profiles.

Mark A. van de Wiel, Franck Picard, Wessel N. van Wieringen, Bauke Ylstra

Briefings Bioinform., 2011

2010

Modeling and Evaluating Repeatability and Reproducibility of Ordinal Classifications.

Jeroen de Mast, Wessel N. van Wieringen

Technometrics, 2010

2009

Survival prediction using gene expression data: A review and comparison.

Wessel N. van Wieringen, David Kun, Regina Hampel, Anne-Laure Boulesteix

Comput. Stat. Data Anal., 2009

2008

Measurement System Analysis for Binary Data.

Wessel N. van Wieringen, Jeroen de Mast

Technometrics, 2008

2007

CGHcall: calling aberrations for array CGH tumor profiles.

Mark A. van de Wiel, Kyung In Kim, Sjoerd J. Vosse, Wessel N. van Wieringen, Saskia M. Wilting, Bauke Ylstra

Bioinform., 2007

2006

ACE-it: a tool for genome-wide integration of gene dosage and RNA expression data.

Wessel N. van Wieringen, Jeroen A. M. Beliën, Sjoerd J. Vosse, Eskeatnaf M. Achame, Bauke Ylstra

Bioinform., 2006